TY - GEN
T1 - Accurate 3D pose estimation from a single depth image
AU - Ye, Mao
AU - Wang, Xianwang
AU - Yang, Ruigang
AU - Ren, Liu
AU - Pollefeys, Marc
PY - 2011
Y1 - 2011
N2 - This paper presents a novel system to estimate body pose configuration from a single depth map. It combines both pose detection and pose refinement. The input depth map is matched with a set of pre-captured motion exemplars to generate a body configuration estimation, as well as semantic labeling of the input point cloud. The initial estimation is then refined by directly fitting the body configuration with the observation (e.g., the input depth). In addition to the new system architecture, our other contributions include modifying a point cloud smoothing technique to deal with very noisy input depth maps, a point cloud alignment and pose search algorithm that is view-independent and efficient. Experiments on a public dataset show that our approach achieves significantly higher accuracy than previous state-of-art methods.
AB - This paper presents a novel system to estimate body pose configuration from a single depth map. It combines both pose detection and pose refinement. The input depth map is matched with a set of pre-captured motion exemplars to generate a body configuration estimation, as well as semantic labeling of the input point cloud. The initial estimation is then refined by directly fitting the body configuration with the observation (e.g., the input depth). In addition to the new system architecture, our other contributions include modifying a point cloud smoothing technique to deal with very noisy input depth maps, a point cloud alignment and pose search algorithm that is view-independent and efficient. Experiments on a public dataset show that our approach achieves significantly higher accuracy than previous state-of-art methods.
UR - http://www.scopus.com/inward/record.url?scp=84863066628&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863066628&partnerID=8YFLogxK
U2 - 10.1109/ICCV.2011.6126310
DO - 10.1109/ICCV.2011.6126310
M3 - Conference contribution
AN - SCOPUS:84863066628
SN - 9781457711015
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 731
EP - 738
BT - 2011 International Conference on Computer Vision, ICCV 2011
T2 - 2011 IEEE International Conference on Computer Vision, ICCV 2011
Y2 - 6 November 2011 through 13 November 2011
ER -